DSP实验:FIR滤波器的设计与实现,用matlab语言实现
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DSP实验:FIR滤波器的设计与实现,用matlab语言实现
The truncation method of FIR design:
a.Follow the math from Lecture #22 to design linear-phase lowpass filters with the cutoff-frequency ωc = π/3 using the truncation method for filter orders M = 20,50 and 150.
b.Demonstrate the Gibbs phenomenon for these filters.
c.Confirm that these filters have linear phase.
d.Show that the MATLAB Signal Processing Toolbox function firls() function,which designs linear-phase FIR filters using least-squares error minimization,produces identical impulse responses to the truncation method for each of the filter orders M = 20,50 and 150.
e.Create a signal 1000 samples long of white Gaussian noise.Convolve this signal with each of the filter impulse responses obtained in part a (or part c).Now try using the MATLAB function filter().What similarities and differences are there between the outputs of filter() and conv()?
The truncation method of FIR design:
a.Follow the math from Lecture #22 to design linear-phase lowpass filters with the cutoff-frequency ωc = π/3 using the truncation method for filter orders M = 20,50 and 150.
b.Demonstrate the Gibbs phenomenon for these filters.
c.Confirm that these filters have linear phase.
d.Show that the MATLAB Signal Processing Toolbox function firls() function,which designs linear-phase FIR filters using least-squares error minimization,produces identical impulse responses to the truncation method for each of the filter orders M = 20,50 and 150.
e.Create a signal 1000 samples long of white Gaussian noise.Convolve this signal with each of the filter impulse responses obtained in part a (or part c).Now try using the MATLAB function filter().What similarities and differences are there between the outputs of filter() and conv()?
恩,经典的问题,我也不会
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